Publications
For most up to date list, see my Google Scholar profile.
Journal Articles
Stodtmann, S., Chen, M. J., Ponce‐Bobadilla, A. V., Finney‐Hayward, T. K., Kalabic, J., & Mostafa, N. M. SERENE ER Analysis Part 2 SERENE‐UC: Exposure‐response Analysis of Higher Versus Standard Adalimumab Dosing Regimens for Patients with Moderately to Severely Active Ulcerative Colitis. Clinical Pharmacology in Drug Development.[Journal]
Chen, M. J., Ponce‐Bobadilla, A. V., Stodtmann, S., Song, A. P., Finney‐Hayward, T. K., & Mostafa, N. M. (2024). SERENE ER Analysis Part 1‐SERENE CD: Exposure‐Response Analysis of Higher Versus Standard Adalimumab Dosing Regimens for Patients With Moderately to Severely Active Crohn Disease. Clinical Pharmacology in Drug Development.[Journal]
Valderrama, D., Ponce‐Bobadilla, A. V., Mensing, S., Fröhlich, H., & Stodtmann, S. (2024). Integrating machine learning with pharmacokinetic models: Benefits of scientific machine learning in adding neural networks components to existing PK models. CPT: Pharmacometrics & Systems Pharmacology, 13(1), 41-53. [Journal]
Ponce-Bobadilla, A. V., Stodtmann, S., Chen, M. J., Winzenborg, I., Mensing, S., Blaes, J., Haslberger, T., Laplanche, L., Dreher, I. & Mostafa, N. M. (2023). Assessing the Impact of Immunogenicity and Improving Prediction of Trough Concentrations: Population Pharmacokinetic Modeling of Adalimumab in Patients with Crohn’s Disease and Ulcerative Colitis. Clinical Pharmacokinetics, 1-12. [Journal]
Ponce-Bobadilla, A. V., Stodtmann, S., Eckert, D., Zhou, W., Liu, W., & Mohamed, M. E. F. (2023). Upadacitinib Population Pharmacokinetics and Exposure-Response Relationships in Ulcerative Colitis Patients. Clinical Pharmacokinetics, 62(1), 101-112. [Journal]
Ponce-Bobadilla, A.V., Carraro, T., Byrne, H. M., Maini, P. K., Alarcón, T. (2019) Age Structure Can Account for Delayed Logistic Proliferation of Scratch Assays. Bulletin of Mathematical Biology 8(7), p. 2706–2724, doi: 10.1007/s11538-019-00625-w [Preprint] [Journal]
Ponce-Bobadilla, A. V., Arévalo, J., Sarró, E., Byrne, H. M., Maini, P. K., Carraro, T., Balocco, S. & Alarcón, T. (2019). In vitro cell migration quantification method for scratch assays. Journal of the Royal Society Interface. 16, 20180709, doi: 10.1098/rsif.2018.0709. [Preprint] [Journal] [Source code and GUI]
Ponce-Bobadilla, A. V., Maini, P. K., & Byrne, H. M. (2017). A stochastic model for tumour control probability that accounts for repair from sublethal damage. Mathematical Medicine and Biology: A Journal of the IMA. 35(2), p. 181-202. [Journal]
Peer-reviewed Conference Articles
Ponce-Bobadilla, A.V., Bartmanski, B. J., Grima, R., Othmer, H. (2019) The status of the QSSA approximation in stochastic simulations of reaction networks. 2018 Matrix Annals. [Journal]
Ponce-Bobadilla, A. V., Doursat, R., & Amblard, F. (2015). An agent-based model of avascular tumor growth. Proceedings of the European Conference on Artificial Life 2015 (ECAL 2015) University of York, UK, pp. 648-655. [Journal]
Preprints
Song, C., Roller, J., Ponce-Bobadilla, A. V., Palacio-Escat, N., Saez-Rodriguez, J., & Heuveline, V. (2021). Spatial Effect on Separatrix of Two-Cell System and Parameter Sensitivity Analysis. Preprint Series of the Engineering Mathematics and Computing Lab, (01). [Preprint]
Carraro, T., Wetterauer, S. E., Ponce-Bobadilla, A. V., & Trucu, D. (2018). A level-set approach for a multi-scale cancer invasion model, arXiv:1805.07485. [Preprint]
Thesis
PhD thesis: Ponce-Bobadilla, A. V. (2019) Mathematical Models of Cell Migration and Proliferation in Scratch Assays. Heidelberg University, Germany. DOI: 10.11588/heidok.00027466 [Full text]
- MSc thesis 1: Ponce-Bobadilla, A. V. (2015) Stochastic model for tumor control probability: effects of repair from sublethal damage. École Polytechnique, France. [Full text]
- Thesis developed at the Wolfson Centre for Mathematical Biology, University of Oxford, United Kingdom.
- MSc thesis 2: Ponce-Bobadilla, A. V. (2014) Modelling Calcium Waves in Different Dendritic Structures. University of Warwick, United Kingdom. [Full text]